How AgentGuard v0.5.0 traces data flow from user input to LLM sinks using Python AST analysis.
From Regex to AST: Building Taint Tracking for AI Agent Code
AgentGuard v0.5.0 ships AST-based taint tracking. This post explains how it works and why it matters.
The Regex Ceiling
Regex catches obvious patterns:
prompt = f"You are helpful. {user_input}"
How AgentGuard detects OWASP ASI Top 10 vulnerabilities -- from regex patterns to AST-based taint tracking.
Chatbot guardrails don't cover agents. Learn what agentic AI guardrails are, why they differ from LLM safety controls, and how…
Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is...
In the last post, we killed the "Tool Abstraction" layer. By replacing 50 brittle JSON-RPC wrappers...
A static analysis tool that detects OWASP ASI Top 10 vulnerabilities in AI agent codebases.
We compare where you can place guardrails in Amazon Bedrock Agents versus a self-orchestrated agent using Datadog AI Guard, using…
